Below: soft underwater robots that take their cues from fish biology. Above: devices for people and
machines for the water. Each label pairs a piece of the scene with a related chapter.
M.S. Mechanical & Aerospace Engineering, Cornell University · Organic Robotics Lab
Ongoing work at Cornell's Organic Robotics Lab, plus manuscripts from my undergraduate research at Case Western Reserve University building devices for biology experiments, now in preparation with the University of Tours. Details are held back until publication.
Underwater Acoustics
How soft robotic swimmers produce and interact with sound underwater, and the materials that shape it.
Soft Biomimetic Robotics
Fish-inspired robots with compliant bodies that move through water the way animals do, aiming for efficient, adaptable swimming.
Embodied Energy
Building energy storage into a robot's body, such as redox-flow battery systems that serve more than one role, instead of carrying it as a separate payload.
Respiratory Lab-on-Chip
Low-cost benchtop tools that bring breathing-like airflow to cell culture, for studying how inhaled particles reach the airway.
Manuscripts in preparation
RCADE
Jeffrey Kagle, Douglas Palumbo, Robert Shepherd
In preparation.
Embodied Energy Swimming Robot
Douglas Palumbo, Jeffrey Kagle, Robert Shepherd
In preparation.
Design of Affordable Benchtop Cell-Culture Incubator Using 3-D Printable Housing and Basic Electronics for Lab-on-Chip Devices Integrating Respiratory-Like Airflow
Jeffrey Kagle, Isira Vinthage, …, Angela Dixon
In preparation with Nathalie Heuzé-Vourc’h (University of Tours); full author list to be finalized.
Airflow testing of particle deposition in locally harvested upper nasal epithelial cells (working title)
In preparation with Nathalie Heuzé-Vourc’h (University of Tours) and additional co-authors; author list to be finalized.
01
Soft Robotics · May 2025
Liquid Dielectric Elastomer Actuator Motor for Underwater Propulsion
Senior Project · Case Western Reserve University · Advisor: Prof. Chase Cao
Jeffrey Kagle, Katharine Lobas, Jarod Lau, Yi Jin, Chase Cao
Rigid motors and hydraulics struggle under deep-water pressure and tend to be bulky and inefficient, while conventional dielectric elastomer actuators deliver high force but little displacement. We designed a deformable rotary motor driven by liquid dielectric elastomer actuators (Peano-HASELs), selected the concept through weighted trade studies, and built custom quarter-circle actuators and a 3D-printed motor housing as a proof of concept.
4liquid Peano-HASEL actuators pulling in sequence on one rotor
20 cmmotor diameter, 3D-printed frame on two ball bearings
5–9 kVdrive voltages tested; actuators deformed without damage
3.1trade-study score for rotary motion (flapping 2.45, jetting 2.2)
Fig. 1. Actuator fabrication: heat-seal BOPP film with a 3D printer, remove the Kapton layer, trim, paint carbon electrodes, inject the liquid dielectric, and reseal the pouches.
Key results
Weighted trade studies selected liquid DEAs as the actuation method (score 2.9, ahead of solid DEAs at 2.7, motors at 2.6, and hydraulics at 2.0) and rotary motion as the movement method (3.1 vs. 2.45 for flapping and 2.2 for jetting).
Designed a three-pouch, quarter-circle Peano-HASEL actuator with painted carbon electrodes so four units fit around a circular frame and pull on an eccentric central rotor.
Developed the fabrication process: heat-sealing BOPP film with a 3D printer, painting carbon electrodes, injecting silicone oil as the liquid dielectric, and resealing the pouches.
Fabricated actuators deformed at 5, 8, and 9 kV from an off-board high-voltage DC/DC converter without damage; testing was limited to verifying functionality.
Identified the main manufacturing fixes for future builds: thicker seal lines in the printer path to prevent leaks, better-placed injection points, and fewer air bubbles in the pouches.
Figures
Fig. 2. Schematic animation (AI-generated, not to scale): the four liquid Peano-HASEL actuators fire in sequence and pull the eccentric hub, turning the shaft; at right, the top actuator's pouches zip, contract, and recover under load.Fig. 3. Full CAD assembly: 3D-printed frame, support struts, and central hub with shaft on two ball bearings.Fig. 4. Exploded view and dimensioned drawing of the 20 cm motor.Fig. 5. Quarter-circle actuator design (left) and painted carbon electrode layout (right).Fig. 6. Concepts compared in the trade studies: bioinspired flapping propulsion, liquid DEA rotor, and liquid–solid DEA hybrid.
02
Microrobotics · Dec 2025
Electromagnetic Actuator for Snap-Through Haptics
Micro and Nano Robotics · Cornell University
LZ Corrales, Jeffrey Kagle
Snap-through buckling can deliver a fast, distinct indentation for wearable haptic feedback, but the beam needs an actuator that supplies 2.9 N over a 3.36 mm stroke to trigger the snap. With LZ Corrales, I designed a compact Lorentz-force solenoid with a permanent-magnet plunger, sized it with a magnetic-vector-potential force model, and integrated it with the beam in a 3D-printed housing. The integrated prototype delivers the impulse force and displacement needed to trigger snap-through, and the beam resets passively.
2.9 Nforce needed to trigger snap-through, over a 3.36 mm stroke
≈19 mmcustom solenoid stroke above the 2.9 N threshold
56.6 gtotal solenoid mass (30.5 mm long, 19.5 mm outer diameter)
0.5 Adrive current of the selected design
Fig. 1. The snap-through beam in the test setup: no force, force applied before the snap, and after snap-through.
Key results
An off-the-shelf solenoid (12 V, 0.25 A, 0.5 N) could not displace the beam, so we designed a custom solenoid with an N52 permanent-magnet plunger to raise force density without adding mass.
Swept current, magnet diameter, turns per layer, and layer count in a magnetic-vector-potential force model; the selected design uses 0.5 A, a 10 mm magnet, and 120 turns × 18 layers of 30 AWG wire (85.22 m).
Validated the model against a commercial solenoid on an ATI Nano force sensor: modeled and measured force maxima and minima closely aligned, with discrepancies only near the coil edge.
The custom solenoid stays above the 2.9 N threshold over ≈19 mm of stroke when only 3.36 mm is needed, leaving room to shrink it by matching the beam's force–displacement profile.
Housing iterations showed that placing the solenoid and beam in series, rather than in parallel, removes a bending moment that cut the force reaching the beam; 0.1 mm clearances made the 3D-printed parts fit reliably.
Figures
Fig. 2. Schematic animation (AI-generated): the solenoid drives the beam end 3.36 mm; the stiff step blocks downward bending until the 2.9 N threshold, the beam snaps up into an arch that rises 4.3 mm to press the fingertip, then resets passively when the current stops.Fig. 3. Force–displacement profile of the custom solenoid; the shaded band is the usable stroke above the required force.Fig. 4. Model validation: magnetic-vector-potential and Biot–Savart predictions against measured force from a commercial solenoid.Fig. 5. Horizontal force on the beam end during snap-through; the drop near 5.5 s is the snap.Fig. 6. Final 3D-printed housing holding the solenoid and beam in series.
03
Haptics · Dec 2025
The Gait Coach: Haptic Cues for Gait Pacing
MAE 6800 Haptics · Cornell University
Jeffrey A. Kagle, EV Morisseau, Daniel Garcia
Haptic cues are increasingly used in gait rehabilitation, but few studies compare feedback types head-to-head on both walking performance and user experience. With Daniel Garcia and EV Morisseau, I built The Gait Coach, a wearable that delivers vibrotactile, skin-stretch, poke, or auditory cues at 120 steps per minute while an IMU on the foot measures how quickly the wearer locks onto that pace. In a three-participant study, vibrotactile feedback came closest to the auditory control, while audio remained the most comfortable.
p = 0.604vibrotactile vs. audio time-to-match (Welch's t-test), closest to the control
4feedback types: vibrotactile, skin stretch, poke, and audio
120 SPMmetronomic pacing target, detected with a foot-mounted IMU
12randomized 30 m walking trials per participant
Fig. 1. Time to match the 120 SPM cue by feedback type, with Welch's t-test p-values against the audio control (diamonds are means).
Key results
Vibrotactile cues matched the audio control most closely: Welch's t-tests on time-to-match gave p = 0.604 for vibrotactile versus audio, compared with p = 0.1730 for skin stretch.
Participants rated audio highest for comfort, perceptibility, and self-scored matching, with vibrotactile a close second; skin stretch ranked lowest and, with poke, was called the most confusing.
Built the wearable around a Hapkit board: an ERM motor, a solenoid poke, a DC-motor skin-stretch end effector, and headphones, with custom 3D-printed housings for each actuator.
Wrote a heel-strike detector for the foot IMU (acceleration-magnitude threshold with a refractory period) that times how long a walker takes to hold the target cadence for 6 consecutive seconds.
Poke testing was cut short when the solenoid's power draw disrupted the microcontroller, leaving one data point; a separate 12 V supply, sturdier connections, and better data logging are the identified fixes.
Figures
Fig. 2. Schematic animation (AI-generated, not to scale): a vibration cue on the forearm sets a 120 steps-per-minute target, and an IMU on the foot detects heel strikes to measure how quickly the walker matches the pace.Fig. 3. Mean Likert scores for comfort, perception, and self-rated matching by feedback type.Fig. 4. Final assembly: IMU strap, forearm haptic band, upper-arm electronics band, and headphones.Fig. 5. Circuit diagram: Hapkit board driving the ERM motor, solenoid, and DC motor, with the IMU.Fig. 6. Custom 3D-printed housings for the solenoid, ERM motor, skin-stretch end effector, and DC motor.
04
Biomechanics · Theory · Dec 2024
Biological and Robotic Synthesized Cuttlefish Fin Biomechanical Model
EMAE 415 Biomechanics · Case Western Reserve University · presented December 2024
Jeffrey Kagle
My role: Sole author.
Cuttlefish swim by passing a sinusoidal wave along muscular-hydrostat fins, but no experimental study had measured or modeled the thrust these fins produce for forward swimming. This theory and literature-review project synthesized biological fin mechanics (anatomy, EMG activation, and force–strain models) with a robotic sinusoidal-fin model into one hybrid force model, creating a benchmark for comparing cuttlefish and designing soft biomimetic robots.
3Dfin force model: dorsoventral, lateromedial, and posteroanterior
2fin beating modes captured: gentle (aerobic) and vigorous (anaerobic)
11biological and robotic studies synthesized into one benchmark
Fig. 1. AI-generated illustration (not from the paper): dorsal view of a cuttlefish with the fin wave travelling anterior to posterior, the resulting thrust and drag, and the body axes used in the model. Schematic, not to scale.
Key contributions
Built a hybrid thrust model by equating the robotic sinusoidal-fin equations of Su et al. with the biological fin-force model of Johnsen and Kier, filling the gap left by the lack of measured fin thrust data for cuttlefish.
Linked fin physiology to propulsion: muscles fire in a sinusoidal activation wave, gentle beating uses only the aerobic transverse muscle, and vigorous beating recruits all three muscle groups for higher force.
Included elastic energy stored and recovered by the muscular-hydrostat fin, and estimated energy output from work (E = F·d) since no intake-versus-output data exist for fin propulsion alone.
Proposed validation experiments: a soft biomimetic cuttlefish robot in a flow tank with force transducers, PIV, and strain gauges, and a live-animal flow-tank test to measure fin thrust using Newton's second law.
The hybrid thrust model
No study has measured the thrust of a live cuttlefish fin, so the model borrows it from robotics. Assuming a robotic sinusoidal fin (Su et al., 2022) with the same size and shape as the cuttlefish fin, the robot's thrust and drag equations stand in for the animal's, while the biological model (Johnsen & Kier, 1993) supplies the out-of-plane fin forces.
1. Net force from motion. Over a short time segment Δt, the change in swimming velocity u gives the acceleration, and Newton's second law gives thrust minus drag, where m is the cuttlefish's wet mass:
2. Drag at a point velocity. From the robotic model, drag is the viscous shear (fluid viscosity μ) integrated over the fin surface S:
3. Point thrust. Combining the two isolates thrust, which must also equal the pressure p the beating fin exerts on the water in the swimming direction:
4. Fin forces from the animal. The biological model gives the dorsoventral and lateromedial fin forces from tissue tension: Tc is the tension in the crossed connective-tissue fibres at angle θ, Tdv the dorsoventral muscle tension, Atm and stm the transverse-muscle area and stress, and each element follows T = EAε:
5. Combined. Together these give a three-dimensional fin force in the posteroanterior, lateromedial, and dorsoventral directions:
Figures
Fig. 2. Schematic animation (AI-generated, illustrative values): a wave travels head to tail along each fin; the robotic-fin model supplies thrust and drag and the biological model supplies the vertical and lateral fin forces, balanced as F<sub>T</sub> − F<sub>D</sub> = m·du/dt.
05
Product Design · Dec 2025
Focus Glasses
MAE 5340 Innovative Product Design · Cornell University
Isabela Castillo, Rene Umeh, Swar Sahgal, Jeffrey Kagle, Robert Bridges
Students struggle to stay focused through long lectures, and neither productivity apps nor current smart glasses solve it. Our team, STEN Labs, designed Focus Glasses: ordinary-looking eyewear with low-intensity 40 Hz LED flicker built into the temple arms, based on research linking 40 Hz stimulation to sustained attention. The specification covers user research, TRIZ-driven design, thermal and structural checks, conjoint-based pricing, and a five-year market forecast.
40 Hzinvisible spectral LED flicker built into the temple arms
3.3–5.5 °CLED temperature rise above ambient at ~22 mW per LED
≈200 kPatemple stress from a 10 N press, vs. ~40 MPa ABS yield
$15.54Mfive-year NPV from a Bass diffusion forecast
Fig. 1. Renders of the Focus Glasses.
Key results
Grounded the concept in 50 immersion, observation, and interview sessions with Cornell students; an AHP ranking put academic achievement and focus as the most critical problem areas.
Designed the electronics around RGB LEDs driven by an ATtiny202 on a custom PCB in the temple arm, powered by a 3 V CR1220 cell, with TRIZ principles guiding LED placement, diffusion, and thermal management.
Thermal check: each LED dissipates about 22 mW, raising temperature only 3.3–5.5 °C above ambient, which is not a safety concern for skin contact.
Structural check: a 10 N press on the ~50 mm² temple produces about 200 kPa, orders of magnitude below the ~40 MPa yield strength of ABS.
Business case: value-based pricing of $59–$79 against a ~$50 early unit cost with injection-molded frames, and a Bass-model forecast over a 500,000-user market giving an NPV of $15,543,276.
Figures
Fig. 2. Choice-based conjoint results: relative importance of glasses style, battery life, cost, and material.Fig. 3. Custom temple-arm PCB: EAGLE layout (left) and board render (right).Fig. 4. Circuit schematic: ATtiny202 driving the RGB LED channels from a 3 V coin cell.Fig. 5. Additional product renders.
06
Mechanical Design · Dec 2024
TR315-r Inline-3 Motorcycle Engine
EMAE 360 · Case Western Reserve University · Project Manager
Nathaniel Berntson, Jeffrey Kagle, Joshua Berman, Josue Cervantes, Sebastian Kennedy, Gregory Burns, Diego A. Acosta-Félix, Alexander Schreiter, Ben Stites, Kenji Miyake
My role: Project manager; led the fluid mechanics and thermodynamics of engine cooling and contributed to every section.
A semester-long design of the TR315-r, a 1502 cc inline-3 engine for cruiser motorcycles, by a 10-person team. As project manager I coordinated the schedule and deliverables, focused on the fluid mechanics and thermodynamics behind engine cooling, and contributed to every section. The final specification covers the engine design, noise and emissions compliance, manufacturing, and a three-year business case.
77.83 dBat 50 ft at 8000 rpm redline, under the strictest US limit (80 dBA)
97%emissions reduction needed at cruise, met with a catalytic converter
14.9%projected ROI over the first three years of production
Fig. 1. CAD model of the TR315-r inline-3 engine.
Key results
Cooling: chose water cooling after finding that air cooling would need an excessive amount of fin area; water cooling takes less space and moves more heat. Set a 120 °C maximum engine surface temperature, well below the ~200 °C at which ABS shrouding begins to melt.
Noise: computed exhaust sound intensity from exhaust pressure, density, and speed of sound, then applied the inverse-square law. With a muffler (~35 dB reduction) the engine reaches 72.93 dB at 5000 rpm and 77.83 dB at redline, measured 50 ft away — within Washington's 80 dBA limit, the strictest in the US.
Emissions: initial output needed a 97% reduction at cruise; a 400-cell metallic catalytic converter brings HC + NOx below 0.8 g/km and CO below 6.4 g/km, meeting CARB and EPA limits.
Final layout: over-square inline-3 (88.9 mm bore, 76.2 mm stroke, ratio 1.1667) with a pent-roof head, port injection, and wet-sump lubrication — 280.87 lb in a 20.32 × 14.50 × 12.75 in envelope.
Business case: $3,277.17 production cost per engine at 15,000 units a year; a $4,099.95 sale price gives a 23.4% gross margin and 14.9% ROI over three years on a $17.55 million initial investment.
Figures
Fig. 2. Semester schedule I managed as project manager: deliverables, presentation and submission dates, and the critical path.Fig. 3. Projected annual cash flow and total cash over the first three years of production.
07
Product Design · 2026
ANCORE U Tiller Extension Joint
MAE 5630 Advanced Product Design · Cornell
Mae Sliwinski, Garrett Smith, Alex Jenkins, Jeffrey Kagle
Competitive sailing hardware with a three-layer elastomeric architecture — polyurethane body, nylon rope core, and woven polymer mesh sleeve. Patent pending.